Density for the bivariate Student-t distribution.

dbistudentt(x1, x2, df, rho = 0, log = FALSE)

Arguments

x1, x2

vector of quantiles.

df, rho

vector of degrees of freedom and correlation parameter. For df, a value Inf is currently not working.

log

Logical. If log = TRUE then the logarithm of the density is returned.

Value

dbistudentt gives the density.

Details

One can think of this function as an extension of dt to two dimensions. See bistudentt for more information.

See also

Examples

if (FALSE)  N <- 101; x <- seq(-4, 4, len = N); Rho <- 0.7
#> Error: object 'N' not found
mydf <- 10; ox <- expand.grid(x, x)
#> Error: object 'x' not found
zedd <- dbistudentt(ox[, 1], ox[, 2], df = mydf,
                    rho = Rho, log = TRUE)
#> Error: object 'ox' not found
contour(x, x, matrix(zedd, N, N), col = "blue", labcex = 1.5)
#> Error: object 'x' not found
 # \dontrun{}